02/22/2024 updated
100 % available
Data Scientist
Aveiro, Portugal
Only remote
PhD Astronomy3D Modeling3D Printing3D ScanningArtificial IntelligenceData AnalysisArduinoComputer VisionComputer ProgrammingData VisualizationFortran (Programming Language)R (Programming Language)Statistical Hypothesis TestingPython (Programming Language)CURLLinear Regression
Python (Packages: NumPy, SciPy, Statsmodels, Pandas, Matplotlib, Seaborn, Plotly, Cufflinks, Scikit-Learn, Pytorch), R (packages: Tidyr, Car, Ae, Dpblyr, Plyr, Rdd, Modelr, Statmod, Ggplot2, Cowplot, Curl, Dplyr), SQL, Tableau, MATLAB, Fortran, Digital Fabrication (3D CAD Design, 3D Scanning, 3D Printing, CNCs, Electronic Circuit Design & Circuit Making, IoT device programming, networking, and communication), Embedded Programming (Arduino and ESP32), Microsoft Office Suite.
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
EnglishNative speakerFrenchGoodPortugueseNative speakerSpanishGood
Project history
Leverage expertise in Genome Wide Association Studies (GWAS) pipelines to calculate Polygenic Risk Scores (PRS).
• Publish a review paper encompassing 100 methods for PRS calculation, a thorough endeavor evidenced by 240+ references.
• Engage in scientific research using data science techniques within the realm of medical sciences including developing innovative tools for personalized medicine, and contributing to population studies.
• Publish a review paper encompassing 100 methods for PRS calculation, a thorough endeavor evidenced by 240+ references.
• Engage in scientific research using data science techniques within the realm of medical sciences including developing innovative tools for personalized medicine, and contributing to population studies.
Served as the Project Coordinator overseeing a transition from in-person to remote learning for participating students.
* Led the development of low-cost, open-source sensors for air quality measurements.
* Contributed to the creation of a WebSIG platform, facilitating collaborative mapping initiatives using applied statistics and data
science principles, based on air quality and noise monitoring campaigns to gather valuable environmental data.
* Conducted comprehensive accredited training sessions for high school teachers as well as training for students, instructing on
air quality & noise measurements and collaborative mapping techniques.
* Successfully guided the publication of student-generated data, with the primary objective of raising awareness and advocating
for public measures addressing environmental concerns.
* Authored an e-book on best practices in collaborative mapping activities.
* Led the development of low-cost, open-source sensors for air quality measurements.
* Contributed to the creation of a WebSIG platform, facilitating collaborative mapping initiatives using applied statistics and data
science principles, based on air quality and noise monitoring campaigns to gather valuable environmental data.
* Conducted comprehensive accredited training sessions for high school teachers as well as training for students, instructing on
air quality & noise measurements and collaborative mapping techniques.
* Successfully guided the publication of student-generated data, with the primary objective of raising awareness and advocating
for public measures addressing environmental concerns.
* Authored an e-book on best practices in collaborative mapping activities.
Instructed several physics subjects, involving laboratory and theoretical classes.
* Served as the Coordinator of the Physics course at IFPR in 2018.
* Led research projects as the coordinator in the realm of open-source hardware, overseeing initiatives such as telescope dome
automation, 3D printer development, and plastic extruder advancements.
* Served as the Coordinator of the Physics course at IFPR in 2018.
* Led research projects as the coordinator in the realm of open-source hardware, overseeing initiatives such as telescope dome
automation, 3D printer development, and plastic extruder advancements.